Multi-attribute decision-making using Archimedean aggregation operator in T-spherical fuzzy environment
As an extension of several fuzzy structures such as fuzzy sets, intuitionistic fuzzy sets, picture
fuzzy sets, q-rung ortho-pair fuzzy sets, and T-spherical fuzzy (TSF) sets (TSFSs), are an …
fuzzy sets, q-rung ortho-pair fuzzy sets, and T-spherical fuzzy (TSF) sets (TSFSs), are an …
TOPSIS method based on complex spherical fuzzy sets with Bonferroni mean operators
The theory of complex spherical fuzzy sets (CSFSs) is a mixture of two theories, ie, complex
fuzzy sets (CFSs) and spherical fuzzy sets (SFSs), to cope with uncertain and unreliable …
fuzzy sets (CFSs) and spherical fuzzy sets (SFSs), to cope with uncertain and unreliable …
Aczel-Alsina aggregation operators on T-spherical fuzzy (TSF) information with application to TSF multi-attribute decision making
Aczel-Alsina t-norm (TN) and t-conorm (TCN) were proposed by Aczel and Alsina in 1982
are more flexible than the other TN and TCN. Since Aczel-Alsina TN and TCN have a great …
are more flexible than the other TN and TCN. Since Aczel-Alsina TN and TCN have a great …
Complex T-spherical fuzzy aggregation operators with application to multi-attribute decision making
In this paper, the novel approach of complex T-spherical fuzzy sets (CTSFSs) and their
operational laws are explored and also verified with the help of examples. CTSFS composes …
operational laws are explored and also verified with the help of examples. CTSFS composes …
T-spherical fuzzy power aggregation operators and their applications in multi-attribute decision making
The paper aims to present the concept of power aggregation operators for the T-spherical
fuzzy sets (T-SFSs). T-SFS is a powerful concept, with four membership functions denoting …
fuzzy sets (T-SFSs). T-SFS is a powerful concept, with four membership functions denoting …
[HTML][HTML] Based on T-spherical fuzzy environment: a combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients
The problem complexity of multi-criteria decision-making (MCDM) has been raised in the
distribution of coronavirus disease 2019 (COVID-19) vaccines, which required solid and …
distribution of coronavirus disease 2019 (COVID-19) vaccines, which required solid and …
Spherical fuzzy Dombi power Heronian mean aggregation operators for multiple attribute group decision-making
H Zhang, G Wei, X Chen - Computational and Applied Mathematics, 2022 - Springer
As a new improvement of fuzzy sets (FSs), spherical fuzzy sets (SFSs) can provide a wider
space for decision-makers (DMs) to express their preference information. Spherical fuzzy …
space for decision-makers (DMs) to express their preference information. Spherical fuzzy …
Performance evaluation of solar energy cells using the interval-valued T-spherical fuzzy Bonferroni mean operators
To find the correspondence between every number of attributes, the Bonferroni mean (BM)
operator is most widely used and proven to be a flexible approach. To express uncertain …
operator is most widely used and proven to be a flexible approach. To express uncertain …
A state-of-the-art survey on spherical fuzzy sets
In addition to the well-known fuzzy sets, a novel type of fuzzy set called spherical fuzzy set
(SFS) is recently introduced in the literature. SFS is the generalized structure over existing …
(SFS) is recently introduced in the literature. SFS is the generalized structure over existing …
Multi-attribute group decision making based on T-spherical fuzzy soft rough average aggregation operators
This research article aims at establishing the foundations of generalized hybrid frameworks
for dealing with uncertainties in knowledge-based systems. First, by combining the notions …
for dealing with uncertainties in knowledge-based systems. First, by combining the notions …